Database Architect

Why Join Innovetive Petcare?

• Build a modern, cloud-native data platform from the ground up 
• Influence enterprise-wide architecture decisions 
• Work on meaningful healthcare-adjacent data challenges 
• Drive analytics that directly impact patient care and operational excellence 
• Join a high-growth organization with strong executive visibility 
• Remote-first culture with flexibility and autonomy 
• Opportunity to grow into a Data Engineering or Data Platform leadership role

What You'll Do

•  Design, build, and maintain a scalable enterprise data platform using Snowflake 
•  Architect ingestion pipelines across clinical, financial, operational, scheduling, and inventory systems 
•  Implement scalable ELT/ETL workflows and data transformation pipelines 
•  Define platform standards for: 
  •  Data governance 
  •  Naming conventions 
  •  CI/CD workflows 
  •  Environment management (dev/staging/prod) 
  •  Testing and deployment strategies 
•  Manage Snowflake architecture, RBAC, security, cost optimization, and performance tuning 

•  Own the dbt ecosystem end-to-end 
•  Build scalable dimensional and canonical data models 
•  Develop reliable marts and semantic layers for analytics consumption 
•  Implement robust testing, lineage, and documentation standards 
•  Create reusable transformation logic and framework standards

•  Partner with finance, operations, and clinical leaders to deliver trusted Tableau dashboards and reporting layers 
•  Build governed, self-service analytics capabilities 
•  Optimize Tableau performance, row-level security, and published data sources 
•  Translate ambiguous business questions into scalable technical solutions

•  Implement observability and monitoring solutions for: 
  •  Data freshness 
  •  Schema drift 
  •  Pipeline failures 
  •  Anomaly detection 
•  Establish governance standards for sensitive and healthcare-adjacent data 
•  Improve trust and reliability across enterprise reporting 

•  Serve as a technical standard-bearer for architecture and engineering best practices 
•  Help shape the future structure of the data organization 
•  Mentor future team members as the function grows

Required Qualifications

•  10+ years of hands-on experience in: 
  •  Data Engineering 
  •  Analytics Engineering 
  •  Data Architecture 
•  Proven experience building and operating production-grade data platforms 
•  Experience working with complex, multi-source enterprise datasets 
•  Background supporting operational, financial, healthcare, or clinical data environments preferred

•  Advanced expertise with: 
  •  Snowflake 
  •  dbt 
  •  Tableau 
  •  SQL 
  •  Python 
•  Experience with: 
  •  Snowpipe 
  •  Streams & Tasks 
  •  Incremental modeling strategies 
  •  Data warehouse optimization 
  •  Semantic layer design 
•  Familiarity with orchestration tools such as: 
  •  Airflow 
  •  Prefect 
  •  Dagster 
•  Strong understanding of: 
  •  Cloud infrastructure (AWS, Azure, or GCP) 
  •  Git workflows 
  •  CI/CD pipelines 
  •  Data governance and security best practices 

•  You are deeply technical and enjoy building systems yourself 
•  You think architecturally and understand downstream data impacts 
•  You thrive in high-autonomy, remote-first environments 
•  You communicate effectively with both technical and non-technical stakeholders 
•  You balance speed, scalability, reliability, and maintainability

• Residing in Austin, Texas with easy access to our home office location 
• Experience in veterinary healthcare, healthcare technology, or other regulated industries 
• Exposure to healthcare-adjacent compliance and governance environments 
•  Experience building enterprise analytics ecosystems from early-stage or greenfield environments

Benefits

•  Competitive base salary
•  Comprehensive health benefits
•  Paid time off 
•  Remote work flexibility 
•  Career growth opportunities 
•  Collaborative and mission-driven culture